Eigenvalue Problem: Find All Eigen-Values & Eigen-Fns

In summary, the given differential equation has variable coefficients and cannot be solved using the same method as a differential equation with constant coefficients. A substitution for the independent variable may be necessary to solve the equation.
  • #1
iScience
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5

Homework Statement



find all eigen-values and eigen-functions for the initial boundary value problem:

$$x^2y''+xy'-\lambda y=0$$
Boundary Conditions:
$$y(1)=y(e)=0$$

Homework Equations

The Attempt at a Solution



i just wanted to know if my substitution in the Auxiliary equation is valid or not, i don't see why not but it's not what the book had.

r4iEBrk.png
 
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  • #2
You are confusing methods for two different types of differential equations.. [itex]l^2+ l- \lambda= 0[/itex] is the characteristic equation for the differential equation [itex]y''+ y'- \lambda= 0[/itex] with constant coefficients. This is an "equipotential equation" where each derivative is multiplied by x to a power equal to the degree of the derivative. It has a completely different characteristic equation.

Looking for a solution of the form [itex]y= Cx^n[/itex], [itex]y'= Cnx^{n-1}[/itex] and [itex]y''= Cn(n- 1)x^{n-2}[/itex]. Putting that into the equation gives [itex]x^2(n(n-1)Cx^{n-2})+ x(nCx^{n-1})- \lambda (Cx^n)= n(n-1)Cx^n+ nCx^n- \lambda Cn= (n(n- 1)+ n- \lambda)x^n= 0[/itex]. In order for this to be 0 for all x, we must have [itex]n(n-1)+ n- \lambda= 0[/itex]. That is the characteristic equation for this problem.

(Equivalently, the substitution [tex]t= ln(x)[/tex] converts an "equipotential equation" in x to an equation with constant coefficients in t.)
 
  • #3
Solution to quadratic equation is incorrect.
 
  • #4
iScience said:

Homework Statement



find all eigen-values and eigen-functions for the initial boundary value problem:

$$x^2y''+xy'-\lambda y=0$$
Boundary Conditions:
$$y(1)=y(e)=0$$

Homework Equations

The Attempt at a Solution



i just wanted to know if my substitution in the Auxiliary equation is valid or not, i don't see why not but it's not what the book had.

r4iEBrk.png
As HallsofIvy has suggested: your auxiliary equation does not apply, because the LHS of your DE does not have constant coefficients. When they are functions of x, all bets are off. It is very important that you grasp this fact!
 
Last edited:
  • #5
It might help you to understand how you can tell what you tried doesn't work. In your approach, you're assuming the solution has the form ##y=e^{mx}## where ##m## is a constant. You are free, of course, to try this, but it could lead to non-sensical results. If it does, you have to find a different method of solving the equation.

If you had solved the resulting quadratic correctly, you should have gotten ##m x = -\frac 12 \pm \frac 12 \sqrt{1+4\lambda}##. Isolating ##m##, you find it depends on ##x## and is not a constant, but you had assumed it was a constant. You've reached a contradiction, which indicates that your initial assumption was not valid.
 

Related to Eigenvalue Problem: Find All Eigen-Values & Eigen-Fns

1. What is an eigenvalue?

An eigenvalue is a special number associated with a square matrix that represents a linear transformation. It is a scalar value that when multiplied by its corresponding eigenvector, results in a new vector that is parallel to the original one.

2. Why is finding eigenvalues important?

Finding eigenvalues is important because they provide valuable information about the properties and behavior of a linear transformation. They can be used to solve systems of linear equations, determine stability of dynamic systems, and find optimal solutions in optimization problems.

3. How do you find eigenvalues?

To find eigenvalues, you need to first set up the characteristic equation by subtracting the identity matrix multiplied by a scalar lambda from the original matrix. Then, solve for the values of lambda that make the determinant of the characteristic equation equal to 0. These values are the eigenvalues of the matrix.

4. What are eigenfunctions?

An eigenfunction is a special type of function that is associated with an eigenvalue and a linear transformation. It is a function that when multiplied by its corresponding eigenvector, results in a new vector that is parallel to the original one. Eigenfunctions are commonly used in quantum mechanics and signal processing.

5. How do you find eigenfunctions?

To find eigenfunctions, you first need to find the corresponding eigenvectors for each eigenvalue. Then, you can express the eigenfunction as a linear combination of these eigenvectors. The coefficients of the linear combination will vary depending on the specific problem and the boundary conditions.

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